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Results 41 - 49 of 49 for 1x2x2x3xf32 (0.47 sec)
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tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-NEXT: %[[SELU_VAL:.*]] = "tf.Mul"(%[[ELU_VAL]], %[[SCALED_ALPHA]]) : (tensor<1x4x4x3xf32>, tensor<f32>) -> tensor<1x4x4x3xf32> // CHECK-NEXT: %[[RES:.*]] = "tf.SelectV2"(%[[PRED]], %[[SCALED_FEATURES]], %[[SELU_VAL]]) : (tensor<1x4x4x3xi1>, tensor<1x4x4x3xf32>, tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32> // CHECK-NEXT: return %[[RES]] : tensor<1x4x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/decompose.mlir
func.func @attribute_cast(%arg0: tensor<1x4x4x1xf32>) -> tensor<1x2x2x1xf32> { %0 = "tfr.cast"(%arg0) : (tensor<1x4x4x1xf32>) -> !tfr.tensor %stride_i32 = arith.constant 2 : i32 %1 = tfr.call @tf__my_max_pool(%0, %stride_i32, %stride_i32) : (!tfr.tensor, i32, i32) -> !tfr.tensor %2 = "tfr.cast"(%1) : (!tfr.tensor) -> tensor<1x2x2x1xf32> func.return %2 : tensor<1x2x2x1xf32> // CHECK: tf__max_pool }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 16.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir
// are also transposed accordingly. // CHECK-LABEL: nchw_conv_with_bias_add_max_pool // CHECK-SAME: %[[ARG:.+]]: tensor<1x2x5x5xf32> func.func @nchw_conv_with_bias_add_max_pool(%arg0: tensor<1x2x5x5xf32>) -> tensor<1x4x2x2xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<4x2x3x3xf32> %1 = stablehlo.constant dense<3.000000e+00> : tensor<1x4x5x5xf32> %5 = stablehlo.constant dense<0xFF800000> : tensor<f32> // -inf
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
// CHECK-SAME: dilations = [1, 3, 4, 2] // CHECK-SAME: explicit_paddings = [1, 2, 5, 6, 7, 8, 3, 4] // CHECK-SAME: padding = "EXPLICIT" // CHECK-SAME: strides = [5, 7, 8, 6] // CHECK-SAME: (tensor<1x32x32x3xf32>, tensor<1x1x3x8xf32>) -> tensor<1x7x6x8xf32> // CHECK: %[[RES_PERM:.*]] = "tf.Const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi64>}> // CHECK: %[[RES_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%[[CONV2D]], %[[RES_PERM]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
func.return %1 : tensor<1x2x2x5xf32> // CHECK: %0 = "tfl.dequantize"(%arg0) // CHECK: %1 = "tfl.strided_slice"(%0, %arg1, %arg2, %arg3) // CHECK: %2 = "tfl.quantize"(%1) <{qtype = tensor<1x2x2x5x!quant.uniform<u8:f32, 1.000000e-01>>}> {volatile} // CHECK: %3 = "tfl.dequantize"(%2)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
func.return %mm_s : tensor<1x1x12x3xf32> // CHECK: %[[w:.*]] = arith.constant dense<1.270000e+02> : tensor<1x1x12x512xf32> // CHECK: %[[mm:.*]] = "tfl.batch_matmul"(%[[w]], %arg0) <{adj_x = false, adj_y = true}> // CHECK: return %[[mm:.*]] // PerTensor: %[[w:.*]] = arith.constant dense<1.270000e+02> : tensor<1x1x12x512xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%13 = "tf.Reshape"(%arg0, %1) {device = ""} : (tensor<1x1x2x1xf32>, tensor<1xi32>) -> tensor<2xf32> %14 = "tf.ScatterNd"(%12, %13, %3) {device = ""} : (tensor<2x4xi32>, tensor<2xf32>, tensor<4xi32>) -> tensor<1x2x4x1xf32> %15 = "tf.Identity"(%14) {device = ""} : (tensor<1x2x4x1xf32>) -> tensor<1x2x4x1xf32> func.return %15 : tensor<1x2x4x1xf32> } // CHECK-LABEL: func @max_unpooling_2d(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @FakeQuantWithMinMaxVarsPerChannel(tensor<1x2x3x8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<1x2x3x8xf32> { ^bb0(%arg0: tensor<1x2x3x8xf32>, %arg1: tensor<8xf32>, %arg2: tensor<8xf32>): %0 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg0, %arg1, %arg2) : (tensor<1x2x3x8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<1x2x3x8xf32> func.return %0 : tensor<1x2x3x8xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: %[[CMP:.*]] = mhlo.compare GT, %[[INP]], %[[ZERO]], NOTYPE : (tensor<1x4x4x3xf32>, tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xi1> // CHECK-NEXT: %[[RES:.*]] = mhlo.select %[[CMP]], %[[INP]], %[[LEAKY]] : tensor<1x4x4x3xi1>, tensor<1x4x4x3xf32> // CHECK-NEXT: return %[[RES]] : tensor<1x4x4x3xf32> %0 = "tf.LeakyRelu"(%arg0) {alpha = 2.000000e-01 : f32, device = ""} : (tensor<1x4x4x3xf32>) -> tensor<1x4x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)